Triple
T5241215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stockholm County Council |
E118344
|
entity |
| Predicate | oversawService |
P41763
|
FINISHED |
| Object | hospitals in Stockholm County |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: hospitals in Stockholm County | Statement: [Stockholm County Council, oversawService, hospitals in Stockholm County]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oversawService Context triple: [Stockholm County Council, oversawService, hospitals in Stockholm County]
-
A.
oversee
Indicates having responsibility for supervising, directing, or managing the actions or work of another entity.
-
B.
oversawDocument
Indicates that one entity supervised, managed, or had responsibility for the creation, handling, or review of a document associated with another entity.
-
C.
oversawEvent
Indicates that an entity had supervisory or managerial responsibility for the planning, execution, or overall conduct of an event.
-
D.
oversawProgramArea
Indicates that one entity had managerial or supervisory responsibility over a specific program area associated with another entity.
-
E.
oversawUnitType
chosen
Indicates that an entity had supervisory or managerial responsibility over a particular type or category of unit.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4467db0881909b3b0982df32cc8f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b2c50508190b84bab216c30cbfe |
completed | March 20, 2026, 4:51 p.m. |
| PD | Predicate disambiguation | batch_69bd77c1397c8190a7fd844d7a396e54 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:49 p.m.